Sentence examples for adaptation to evolving from inspiring English sources

Exact(6)

Continuous reflection and evolution of curricula in chemical engineering is beneficial for adaptation to evolving industries and technologies and for improving student experience.

The experience gained at IBDP highlights the importance of field systems and processing flows that allow adaptation to evolving operational conditions and microseismic event activity.

Continuous reflection and evolution of curricula in chemical engineering is beneficial for adaptation to evolving industry requirements, novel technologies and enhances student experience by being up to date and inclusive of effective teaching strategies.

Incidents can be manually categorised, to present operators with an incident task checklist enabling adaptation to evolving situations.

Our study revealed that several PSCs in cod tlr22 genes may produce striking changes in critical protein sites and may therefore be associated with adaptation to evolving pathogens or acquisition of additional functions, such as the heat shock response.

It is likely that future management of water infrastructure and water resources will demand a more systematic approach to integration across sectors and adaptation to evolving boundary conditions than has been followed in the past.

Similar(54)

Introgression has the potential to allow adaptation to evolve at rates that may considerably exceed those possible for non-hybridizing populations that are dependent on random mutation for genetic novelty (Barton 2001).

Intelligent designers revealed a weakness in evolution teaching - neglect of how genetic systems are organized to allow adaptation to evolve - for which Kirschner and Gerhart (2005) and others provided a remedy.

In order for local adaptation to evolve across environmental gradients, there must be underlying genetic variation in the phenotypic trait and moderate to strong environmental selection [ 9].

Estimates considering the potential for local adaptation to evolve within the Teno system indicated that it is theoretically possible in mainstem and headwater populations when selection co-efficient exceeds s = 0.05 and in tributary populations when s > 0.1.

In particular, a mixed strategy may be stable depending on the relative fitnesses of the nine genotypes and the initial allelic frequencies [ 8, 9] and the mode of population regulation can have a striking impact on the likelihood of behavioral adaptation to evolve [ 10].

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